Command-Line Interface

Two CLI entry points are provided:

python -m je_auto_control — legacy flag-style runner for one-off execute / create-project operations. Also launches the GUI when called with no arguments.
python -m je_auto_control.cli — subcommand-based runner for running scripts, listing scheduler jobs, and starting the socket / REST servers.

Subcommand CLI (`python -m je_auto_control.cli`)

Run a script

python -m je_auto_control.cli run script.json
python -m je_auto_control.cli run script.json --var count=10 --var name=alice
python -m je_auto_control.cli run script.json --dry-run

--var name=value is parsed as JSON when the value parses, otherwise it is treated as a plain string. --dry-run records every action through the executor without invoking any side effects.

List scheduler jobs

python -m je_auto_control.cli list-jobs

Start the TCP socket server

python -m je_auto_control.cli start-server --host 127.0.0.1 --port 9938

Start the REST API server

python -m je_auto_control.cli start-rest --host 127.0.0.1 --port 9939

Endpoints: GET /health, GET /jobs, POST /execute with {"actions": [...]}.

Legacy flag-style CLI (`python -m je_auto_control`)

Execute a single action file

python -m je_auto_control --execute_file "path/to/actions.json"
python -m je_auto_control -e "path/to/actions.json"

Execute all files in a directory

python -m je_auto_control --execute_dir "path/to/action_files/"
python -m je_auto_control -d "path/to/action_files/"

Execute a JSON string directly

python -m je_auto_control --execute_str '[["AC_screenshot", {"file_path": "test.png"}]]'

Create a project template

python -m je_auto_control --create_project "path/to/my_project"
python -m je_auto_control -c "path/to/my_project"

Launch the GUI

python -m je_auto_control

Note

Launching the GUI requires the [gui] extra to be installed: pip install je_auto_control[gui]